// Copyright (c) 2023 Huawei Technologies Co., Ltd
// Copyright (c) 2019, Facebook CORPORATION.
// All rights reserved.
//
// Licensed under the BSD 3-Clause License  (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include "op_plugin/AclOpsInterface.h"
#include "op_plugin/OpApiInterface.h"
#include "op_plugin/utils/op_api_common.h"

namespace op_api {
at::Tensor &leaky_relu_backward_out(const at::Tensor &grad_output, const at::Tensor &self, const at::Scalar &negval,
                                    bool is_result, at::Tensor &grad_input)
{
    at_npu::native::OpPreparation::check_tensor({self, grad_output}, grad_input, grad_input.scalar_type(),
                                                self.sizes());
    // calculate the output result of the NPU
    EXEC_NPU_CMD(aclnnLeakyReluBackward, grad_output, self, negval, is_result, grad_input);

    return grad_input;
}

at::Tensor leaky_relu_backward(const at::Tensor &grad_output, const at::Tensor &self, const at::Scalar &negval,
                               bool is_result)
{
    DO_COMPATIBILITY(aclnnLeakyReluBackward, acl_op::leaky_relu_backward(grad_output, self, negval, is_result));

    at::Tensor result = at_npu::native::OpPreparation::apply_tensor_without_format(self);
    // calculate the output result of the NPU
    EXEC_NPU_CMD(aclnnLeakyReluBackward, grad_output, self, negval, is_result, result);

    return result;
}
} // namespace op_api
